Agent skill
qywx
Send messages to Enterprise WeChat (QYWX) groups using bot webhooks. Core Scenario: When the user needs to automate notifications or send reports to a QYWX group.
Install this agent skill to your Project
npx add-skill https://github.com/x-cmd/skill/tree/main/data/x-cmd/qywx
SKILL.md
qywx - Enterprise WeChat Bot Utility
The qywx module allows users to send various types of messages (text, markdown, images) to Enterprise WeChat groups via a configured bot webhook.
When to Activate
- When automating CI/CD notifications to a QYWX group.
- When sending system alerts or periodic reports via markdown.
- When uploading and sharing images within a QYWX group from the terminal.
Core Principles & Rules
- Webhook Required: Remind users to configure the
webhookurl viainitor--cfg. - Message Types: Supports
text,markdown, andimageformats. - Privacy: Encourage keeping the webhook URL private.
Patterns & Examples
Send Markdown
# Send a formatted markdown notification
x qywx send --markdown "## Build Success\nVersion: v1.0.0"
Send Image
# Upload and send a local image file
x qywx send --image ./report.png
Configure Webhook
# Set up the bot webhook URL
x qywx --cfg webhook=YOUR_WEBHOOK_URL
Checklist
- Ensure the webhook URL is correctly configured.
- Confirm the message type (text/markdown/image) matches the content.
- Verify file paths if sending an image.
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
pufferlib
High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, or integration with game environments (Atari, Procgen, NetHack). Achieves 2-10x speedups over standard implementations. For quick prototyping or standard algorithm implementations with extensive documentation, use stable-baselines3 instead.
fluidsim
Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
metabolomics-workbench-database
Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.
geniml
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
zinc-database
Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.
astropy
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
Didn't find tool you were looking for?